Most AI agent demos fail in production for a boring reason: they have a framework, but not a...
AI agent falliscono senza un runtime layer che gestisca durable state, isolamento, resource control e lifecycle—problemi che framework e modello non risolvono. Senza runtime: restart completo dopo crash, accesso host compromesso, budget impredittibile, processi orfani—TCO e security entrambi a rischio.
Most AI agent demos fail in production for a boring reason: they have a framework, but not a runtime.
A framework helps an agent decide what to do next. It manages messages, tool calls, and the reasoning loop.
A runtime decides whether that agent can survive a crash, run tools safely, respect budgets, and clean itself up when the task ends.
That difference matters as soon as an agent moves beyond a short local demo.
The framework is not the runtime
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